Welcome to Adwait's Homepage

Adwait Jog, Ph.D. (Penn State)    Assistant Professor    Department of Computer Science    College of William & Mary    McGlothlin-Street Hall 111    Williamsburg, VA 23187     ajog@wm.edu, Google Scholar Profile    Twitter handle: @adwaitjog

About

I am an assistant professor in the Department of Computer Science at College of William & Mary (W&M) in Virginia, USA. At W&M, I am leading the Insight Computer Architecture Lab. Our goal is to generate insights, which would help in architecting future computers that are more energy-efficient, capable, reliable, and secure.

I am always looking for self-motivated and talented students to join my lab. We have several funded RA positions. Send me a brief email to start the conversation. All graduate admissions are formally managed by W&M CS department.

Recent News

• I will be co-chairing (with Onur Kayiran) the 12th Workshop on General Purpose Processing Using GPU (GPGPU 2019) to be held in conjunction with ASPLOS 2019.

• I gave talks in India at Intel Labs, Microsoft Research, and Indian Institute of Science (IISc) related to our recent MICRO and HPCA 2018 papers. Slides are available here.

• I am invited to serve on the Sigmetrics 2019, ICCD 2019, and HPDC 2019 program committees, and HPCA 2019 external program committee. Submit your best work!

• I gave an invited talk titled “Breaking the Memory Wall in Current and Emerging Accelerators” at the University of Pittsburgh.

• Mohamed Ibrahim will be presenting our poster at the ACM SRC competition to be held at MICRO’18. Hongyuan Liu will be presenting our recent MICRO’18 paper on efficiently executing large-scale automata.

• Mohamed Ibrahim and Haonan Wang are back in the lab from summer internships at AMD Research and Pacific Northwest National Laboratory (PNNL), respectively. Gurunath Kadam will be completing a co-op at Intel Labs this Fall.

• Two papers accepted at MICRO’18. These two papers cover two different topics: a) architectural support for efficient large-scale automata processing, and b) practical GPU reliability analysis. Congratulations to my students and collaborators.

• I am serving as a publicity chair for CGO’19. The conference website and call for papers is up!

• ACACES 2018 course website is up with the lecture material. This short GPU course is a part of the computer architecture summer school organized annually by HiPEAC.

Research Funding

My research group is currently supported by the following research grants:

• NSF CAREER Award 2018. News in the Media. Thanks NSF!

• NSF SHF Award 2017. Thanks NSF!

• NSF CRII Award 2017. Thanks NSF!

• NVIDIA Equipment Donation. Thanks NVIDIA!

Selected Publications (complete list)

• (MICRO 2018) Architectural Support for Efficient Large-Scale Automata Processing

• (MICRO 2018) Fault Site Pruning for Practical Reliability Analysis of GPGPU Applications

• (HPCA 2018) Efficient and Fair Multi-programming in GPUs via Effective Bandwidth Management

• (HPCA 2018) RCoal: Mitigating GPU Timing Attack via Subwarp-based Randomized Coalescing Techniques

• (ASPLOS 2018) MASK: Redesigning the GPU Memory Hierarchy to Support Multi-Application Concurrency

• (HPCA 2017) Controlled Kernel Launch for Dynamic Parallelism in GPUs

• (MICRO 2016) Zorua: A Holistic Approach to Resource Virtualization in GPUs

• (PACT 2016) Scheduling Techniques for GPU Architectures with Processing-In-Memory Capabilities

• (PACT 2016) μC-States: Fine-grained GPU Datapath Power Management

• (SIGMETRICS 2016) Exploiting Core Criticality for Enhanced GPU Performance

• (ISCA 2015) A Case for Core-Assisted Bottleneck Acceleration in GPUs: Enabling Flexible Data Compression with Assist Warps

• (MICRO 2014) Managing GPU Concurrency in Heterogeneous Architectures

• (PACT 2014) Trading Cache Hit Rate for Memory Performance

• (PACT 2013) Neither More Nor Less: Optimizing Thread-level Parallelism for GPGPUs

• (ISCA 2013) Orchestrated Scheduling and Prefetching for GPGPUs

• (ASPLOS 2013) OWL: Cooperative Thread Array Aware Scheduling Techniques for Improving GPGPU performance

• (DAC 2012) Cache Revive: Architecting Volatile STT-RAM Caches for Enhanced Performance in CMPs

Teaching (complete list)

• I am teaching CSCI 674, GPU Architectures (graduate course) in Spring 2019.

Program and Organization Committees (complete list)

• Publicity Chair, CGO 2019

• Invited to be on the Program Committees of Sigmetrics 2019, HPCA 2019 (ERC), ICCD 2018, SBAC-PAD 2018, IISWC 2018, NAS 2018. Submit your best work!

• Local Arrangements Chair, ASPLOS 2018

Outreach

• Co-organized second version of the workshop on minimizing data movement (Min-Move 2018). It was co-located with ASPLOS 2018.The workshop was a great success.

• Delivered a talk titled Computer Science: Myths, Challenges, and Opportunties to high school students attending Focusing on the Future (FOF) conference organized by School of Education, W&M.

• Co-organized a workshop on minimizing data movement (Min-Move 2017) co-located with PACT 2017. The workshop was a great success.

• Delivered as a talk on Career Opportunities in CS to middle school students attending Focusing on the Future (FOF) conference organized by School of Education, W&M.